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Couchbase Server 2.0 adds powerful indexing and querying capabilities through its distributed map reduce implementation. But in addition to that many applications, particularly content applications also need full-text search capabilities. Today we are releasing a developer preview of the Couchbase Transport Plugin for Elastic Search. This plugin uses the new Cross Data Center Replication functionality which will be a part of Couchbase Server 2.0. Using this new transport, you can get started with Couchbase and ElasticSearch easily. This blog explains how you can have this integration up and running in minutes.

Now that the plug-in is installed we need to set the password for the Couchbase transport.

$ echo “couchbase.password: password” >> config/elasticsearch.yml

This sets the password to the literal string “password”. The username defaults to “Administrator”, but can be specified in “couchbase.username”.

All the plug-ins we need are installed, let’s go ahead and start ElasticSearch.

$ bin/elasticsearch

This starts ElasticSearch and puts it into the background.

Configuring ElasticSearch

Now that the plug-in is installed we need to install an index template that sets up some good defaults when working with Couchbase. All of these settings can be overridden by your own templates, or updated on a per-index basis.

Configuring Couchbase Server

The Couchbase plug-in for ElasticSearch works by taking advantage of the Cross Datacenter Replication (XDCR) feature introduced in Couchbase Server 2.0. The first step is to navigate to the Replications tab the in UI. Now click the Create Cluster Reference button. Name this cluster ElasticSearch and point it to the address 127.0.0.1:9091 (the default port used by this plug-in). The username field should be Administrator and the password field should match the value you configured in the previous section.

Finally, to start the replication press the Create Replication button. Select the beer-sample bucket, the remote cluster ElasticSearch and type in the name of the remote bucket beer-sample.

Once you press the Replicate button the data will begin transferring.

Integration Complete

The document count will increase in ElasticSearch and will ultimately be higher than the document count we see in Couchbase. This is OK and happens because we’re also storing replication checkpoint documents. Now let’s trying running a simple search to verify the data was properly indexed.

We see that the search matched exactly one document. But notice that in the source section we don’t see the contents of the beer document. This is done by design, when we installed the index templates, we disabled storing the full body of the document. The reason is simple, we already have incredibly fast access to the documents in Couchbase. Let’s go back to the Couchbase UI and look at the document returned by the search.

From the Couchbase UI navigate to the the Data Buckets tab, then click the Documents button next to the beer-sample bucket. In the document ID field we’ll paste in the ID returned by the search, 110fa6d6b2.

Success! This is the beer we were looking for.

Next Steps

At this point you have your Couchbase Cluster continuously replicating data to your ElasticSearch Cluster. We’ve only shown a very basic ElasticSearch query, much more complex queries are possible.

Posted by Marty Schoch, Senior Software Engineer, Couchbase

Marty Schoch is a Senior Software Engineer at Couchbase. Marty is the author of the Couchbase Plugin for Elasticsearch and early versions of N1QL. Marty is also a core contributor to the Couchbase Go SDK and has worked on many experimental Couchbase Labs projects using Go. Currently, Marty is researching new index technology for future versions of Couchbase. He holds a bachelor's degree in computer science from the University of Maryland, College Park.

Yes, I believe all of these tasks can be done without \”UI and click\”. I\’m not certain about the initial Couchbase setup, for that you may want to ask on the Couchbase forums: https://forums.couchbase.com/

After that point, the XDCR setup for Elasticsearch can be done using the couchbase-cli commands described here:

[…] ElasticSearch was chosen to handle the full-text search requirements for the application. ElasticSearch combines rich querying capabilities with excellent clustering capabilities, making it a great match with Couchbase. Integration between Couchbase Server and ElasticSearch was provided by the Couchbase Transport plug-in. This transport uses the Cross Data Center Replication feature of Couchbase Server 2.0 to reliably transfer all document mutations to the ElasticSearch index (Learn more about this here). […]